Data Science Co-op/Intern

Position Overview

Term

• The placement lasts four months, from January 4, 2027 through April 30, 2027.

Workplace

• The role is hybrid in Ottawa, Canada.

Education Requirements

• Candidates must be pursuing a bachelor's or master's degree or a college diploma at an accredited Canadian university or college in a relevant technical discipline.
• Preferred study areas include data science, computer science, software engineering, computer engineering, electrical engineering, artificial intelligence, statistics, mathematics, or related programs.

Responsibilities

• Design, develop, and evaluate AI-powered applications using LLMs, agentic AI, RAG, and intelligent workflow automation.
• Analyze workflows, identify automation opportunities, and translate business requirements into AI-driven solutions.
• Develop Python applications, APIs, and automation tools using AI-assisted development platforms.
• Analyze engineering and operational data to produce reports, dashboards, visualizations, and actionable insights.
• Participate in Agile activities, design reviews, AI adoption initiatives, workshops, and knowledge sharing.

Required Skills

• Strong Python programming experience and familiarity with software development, automation frameworks, APIs, and application design.
• Knowledge of generative AI, LLMs, prompt engineering, RAG, AI agents, and agentic workflows.
• Experience with Cursor AI, GitHub Copilot, or similar AI-assisted development tools.
• Understanding of data analytics, statistics, data modeling, and visualization techniques.
• Strong analytical, problem-solving, communication, collaboration, and continuous learning skills.

Additional Qualifications

• Experience with LangChain, LangGraph, AutoGen, CrewAI, or similar AI application frameworks is advantageous.
• Exposure to AI guardrails, LLM evaluation, observability, tracing, monitoring, and AI application lifecycle management is advantageous.
• Experience with enterprise applications, Grafana, Splunk, Power BI, Git workflows, CI/CD, hackathons, research, or AI extracurricular activities is advantageous.

Student Benefits

• Benefits include flexible and hybrid working schemes, professional development and networking opportunities, campus amenities, well-being programs, employee resource groups, mentorship, coaching, and career development support.